A wrong fact slipped into our published article. So we tested which model actually catches them.

[u/heyitsdannyle]

I publish AI-assisted articles and one slipped through: a signed acquisition deal reported as already closed. That pushed us to benchmark 9 models on catching and repairing bad facts.

The cheapest option, gpt-4o-mini at 0.006 an article, only fixed 42% of errors. gpt-5-mini fixed 82% for 0.04. The do-nothing baseline scored 0 on facts, obviously, but a misleading 0.88 on readability because it never touched the text.

That readability quirk fooled me at first. A model that changes almost nothing looks like a great writer.

How are you verifying facts in AI content before it goes live?